KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
The division of Software and Computer Systems at the Department of Computer Science, KTH, is looking for excellent candidates for two postdoctoral positions in the area that lies at the intersection of distributed systems, data science, data intensive computing, machine learning and deep learning. The selected candidates are expected to have a strong background and passionate interest in topics of at least two of aforementioned areas.
The advertised postdoctoral positions are mainly within the following two projects: (1) Horizon 2020 EU-Project “ExtremeEarth: From Copernicus Big Data to Extreme Earth Analytics” (http://earthanalytics.eu/) that aims at developing scalable Extreme Earth Analytics techniques and technologies for extracting information and knowledge out of the petabytes of Copernicus data collected in the European Copernicus program for monitoring the Earth; (2) “CDA: Continuous Deep Analytics” that aims at development of the foundations for data programming systems following two main avenues of research: (i) Algorithms, programming Languages and optimization for continuous analytics on data streams such as time-varying relational models, linear algebra and dynamic graphs ; (ii) Distributed Runtime for complex and fast hardware-accelerated (GPUs, FPGAs) as well as data-parallel processing on data streams with large state.
Applicants must hold or be about to receive a doctoral degree in Computer Science (or equivalent). The doctoral degree must have been obtained within the last three years from the application deadline (some exceptions for special grounds, for instance sick leave and parental leave). The candidate should have a strong background from at least two of the areas distributed systems, data science, data intensive computing, machine learning and deep learning. The successful applicant should have an outstanding research and publication record in at least two of the aforementioned research areas as well as experience in developing systems and applications. Strong skills in modern Machine Learning and data-intensive computing frameworks (e.g., TensorFlow, Keras, Apache Spark, Apache Flink) is a requirement. Track record in contributing to Open-Source is a plus. Well-developed analytical and problem solving skills are a requirement. We are looking for a strongly motivated person, who is able to work independently as well as in an international research team. The applicant should have a well-established international research collaboration network as should be indicated by visits, guest talks or internships outside applicant’s home institutions. The applicant should also have a track record in being a reviewer of reputed international conferences or journals. Good command of English orally and in writing is required to present and publish research results.
Great emphasis will be placed on personal competence and suitability.
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|Title||Postdoc in Distributed Systems / Data Science Systems|
|Employer||KTH Royal Institute of Technology|
|Job location||Valhallavägen 79, 100 44 Stockholm|
|Published||January 24, 2020|
|Application deadline||March 31, 2020|
|Job types||Postdoc  |
|Fields||Data Structures,   Distributed Computing,   Operating Systems  |